This Specialization contain 5 courses,
⭐️(1) Cloud Computing Concepts, Part 1, ( This video cover this course )

⭐️(2) Cloud Computing Concepts Part 2, (Click here : https://youtu.be/C200uLJupsQ )

⭐️(3) Cloud Computing Applications, Part 1 Cloud Systems and Infrastructure (Click here : https://youtu.be/I3BecV0T1X8 )

⭐️(4) Cloud Computing Applications, Part 2 Big Data and Applications in the Cloud (Click here: https://youtu.be/ImW-JDaPz3c )

⭐️(5) Cloud Networking (Click here : https://youtu.be/LyBLCAIUNtE )
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ORIENTATION, INTRODUCTION TO CLOUDS, MapReduce
0:00:00 Introduction to Cloud Computing Concepts, Part 1
0:03:44 Orientation Towards Cloud Computing Concepts Some Basic Computer Science Fundamental
0:27:20 Week 1 Introduction
0:28:47 why Clouds
0:35:24 What is a Cloud
0:40:44 Introduction to Clouds History
0:48:25 Introduction to Clouds What's New in Today's Clouds
0:56:00 Introduction to Clouds New Aspects of Clouds
1:04:24 Introduction to Clouds Economics of Clouds
1:11:30 A cloud IS a distributed system
1:16:31 What is distributed system
1:32:38 MapReduce Paradigm
1:46:52 MapReduce Examples
1:57:29 MapReduce Scheduling
2:10:06 MapReduce Fault-Tolerance
2:19:01 Interview With sumeet singh

GOSSIP, MEMBERSHIP, AND GRIDS
2:35:09 Week 2 Introduction
2:36:21 Multicast Problem
2:46:20 The Gossip Protocol
2:51:50 Gossip Analysis
3:07:18 Gossip Implementations
3:11:39 What is Group Membership List
3:20:10 Failure Detectors
3:29:18 Gossip Style Membership
3:37:16 Which is the best failure detector
3:41:47 Another Probobilistic Failure Detector
3:50:54 Dissemination and suspicion
3:39:28 Grid Applications
4:05:50 Grid infrastructure
4:17:10 Interview with William Gropp

P2P SYSTEMS
4:37:14 Week 3 Introduction
4:38:29 P2P systems introduction
4:44:13 Napster
4:51:14 Gnutella
5:11:30 FastTrack and BitTorrent
5:18:41 Chord
5:41:02 Failures in Chord
5:55:56 Pastry
6:02:35 Kelips
6:13:07 Blue Waters Supercomputer

KEY-VALUE STORES, TIME, AND ORDERING
6:22:19 Week 4 Introduction
6:24:36 Why Key Value NOSQL
6:40:12 Cassandra
7:07:29 The Mystry of X-the Cap Theorem
7:27:24 The Consistency Spectrum
7:36:46 HBase
7:46:51 Introduction and Basics
7:57:46 Cristian's Algorithm
8:03:36 NLP
8:08:28 Lamport Timestamps
8:23:04 Vector Clocks
8:35:06 Interview with Marcos Aguilera

CLASSICAL DISTRIBUTED ALGORITHMS
8:49:44 Week 5 Introduction
8:50:35 What is Global Snapshot
8:57:49 Global Snapshot Algorithm
9:08:26 Consistent Cuts
9:14:41 Safety and Liveness
9:22:13 Multicast ordering
9:39:07 Implementing Multicast Ordering 1
9:48:44 Implementing Multicast Ordering 2
9:56:36 Reliable Multicast
10:02:09 Virtual Synchrony
10:13:56 The Consensus Problem
10:26:18 Consensus In Synchronous systems
10:34:45 Paxos, Simply
10:48:35 The FLP Proof (OPTIONAL)
11:09:11 Interview with Tushar Chandra
11:22:46 Conclusion to Computing Concepts, part 1

About this Course
Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing.

Some of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more!

Know how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises. In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required.

The course also features interviews with leading researchers and managers, from both industry and academia.

⭐ Important Links and Notes ⭐
⌨️ This course is created in collaboration with University of Illinois

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